machine-learning video for you are a data engineer at a financial services company using Amazon Textract to automate data extraction from invoices and receipts
You are a data engineer at a financial services company using Amazon Textract to automate data extraction from invoices and receipts uploaded by customers. However, critical fields such as total amounts and tax amounts are sometimes misaligned or missing in the extracted output. You need to improve the accuracy and structure of these fields while minimizing operational overhead. Which approach should you use to enhance the accuracy and structure of the extracted data using Amazon Textract?